Unlimited LLM API for DeepSeek, GLM and Qwen. Meet Rate Cloud

AI has become part of everyday work for millions of people. We use it to write code, build websites, create applications, automate tasks and develop our own projects. But the more actively you use AI, the more often you run into the same problem: limits and expensive API tokens.

You might be working on a project for several hours, testing different ideas or running multiple AI agents at once. Everything is going well until you hit a usage limit or realize how much you’ve already spent on API calls. Then you have to slow down, switch to a cheaper model or wait until your limits reset. And when you’re paying for every token, even experimenting with new ideas starts to feel expensive.

We wanted to change that. That’s why we created Rate Cloud, an LLM API provider that gives you unlimited tokens for a fixed subscription price. Instead of constantly checking your balance and calculating how much each request costs, you can focus on actually using AI.

What is Rate Cloud and how does it work?

Rate Cloud provides API access to modern AI models, including DeepSeek, GLM and Qwen. The main difference from traditional API providers is how you pay for using these models.

Most providers charge separately for input and output tokens. The more you use a model, the more you pay. This works fine for occasional requests, but it becomes less convenient when you’re developing applications, working with coding agents or running automated processes that send thousands of requests.

With Rate Cloud, you choose the model you need and purchase a subscription for a fixed period. Our 30-day subscriptions start at approximately $27, and we also offer shorter options for 3 and 7 days. If you want to try the service before paying, there’s a free trial available.

There are no monthly, weekly or hourly token quotas. Input tokens, output tokens and cached tokens are all included in your subscription. Whether you’re processing large documents, generating code or running an AI agent that constantly communicates with a model, you don’t have to calculate the cost of every request.

Of course, unlimited tokens doesn’t mean unlimited simultaneous requests. We use a different system to manage capacity, which we’ll explain below.

Which AI models are available?

We currently provide access to five AI models: GLM 5.3, GLM 5.3 Flash, DeepSeek V4 Pro, DeepSeek V4.1 Flash and Qwen 3.8 Max.

Different models can be useful for different tasks. Some users need AI primarily for programming, others work with large amounts of text, automate business processes or build applications that require constant communication with an LLM.

That’s why we decided not to focus on a single model. Instead, Rate Cloud gives users the ability to choose between several options depending on their projects and preferences.

For example, you might prefer DeepSeek for one project and GLM for another. Or you might want to compare their answers before deciding which model works better for your particular task. With access to multiple models, you’re not forced to build everything around a single AI system.

Each model has its own subscription, so you only pay for the ones you actually need. If you use several models, you can manage them through the same Rate Cloud account and API infrastructure.

Unlimited tokens with parallel requests

One of the most important parts of Rate Cloud is our parallel slot system.

Every standard subscription includes 4 parallel slots for the selected model. In simple terms, this means you can have up to four requests running simultaneously.

Imagine you’re working on a project using several AI agents. One agent is writing code, another is checking the results, and two others are working on different tasks. With four available slots, all four requests can run at the same time.

If you need more capacity, you can purchase additional subscriptions for the same model. Two subscriptions give you eight parallel slots, three give you twelve, and so on.

The important difference is that these slots control how many requests can run simultaneously, not how many tokens you’re allowed to use during the month.

This makes the system easier to understand. You know exactly how much you’re paying, how many parallel requests you can run and which models are available to you. There are no additional charges based on token consumption.

What can you build with Rate Cloud?

One of the reasons we created Rate Cloud was to make AI more practical for projects that require regular or continuous API access.

Take AI coding tools, for example. When you’re using an assistant to write, review and improve code, a single task can involve many requests. Larger projects can require repeated analysis, debugging and testing. If you’re paying for every token, it’s easy to start worrying about the cost instead of concentrating on the code.

Rate Cloud can be connected to supported development tools such as OpenCode, allowing you to work with models like DeepSeek and GLM through our API.

Another example is AI agents. These systems can perform tasks automatically, interact with other tools and process information without requiring someone to manually send every request. Some agents run for hours, while others are designed to operate continuously.

You can also use Rate Cloud to build chatbots, AI-powered websites, applications, document processing systems and different types of automation.

For someone developing a small project, fixed pricing makes it easier to plan expenses. For someone building a more complex system, it removes the need to calculate token costs every time the application communicates with a model.

Naturally, running a complete application involves other expenses, such as hosting, databases and infrastructure. Rate Cloud provides the AI model access, while the rest of the application remains under your control.

Why we chose fixed pricing

We believe AI should be something people can use regularly without constantly worrying about the next bill.

The traditional pay-per-token model isn’t necessarily bad. It can be convenient for people who only make occasional API requests. But when you’re using AI every day, developing software or experimenting with autonomous agents, unpredictable costs become a real problem.

We wanted to offer another option.

With Rate Cloud, you know the subscription price before you start. You know which model you’re paying for, how many parallel slots you have and how long your subscription lasts.

You can use millions of tokens without receiving an additional bill for token consumption. And if your project grows, you can increase the number of parallel slots without changing the basic subscription model.

We also wanted to keep the service simple. You don’t need to understand complicated pricing tables or calculate separate costs for input, output and cached tokens. Choose a model, get your API key, connect your tool and start working.

Rate Cloud is already available

Rate Cloud is not just an idea or an upcoming project. The platform is already running, and users can register, try the API and purchase subscriptions.

We’re continuing to develop the service, improve compatibility with different AI tools and expand its capabilities.

If you’re working with AI regularly, building your own applications or simply tired of calculating token costs, you can take a look at what we’ve built.

Rate Cloud: https://rate-cloud.com

We’re also interested in hearing from other developers. Do you prefer paying for every token, or would you rather have a fixed subscription with unlimited token usage? And which AI models or development tools would you like to see supported?

Feel free to share your experience in the comments.